Principal Solution Architect

KBX Logistics is looking for a Principal Solution Architect (Data & AI) to lead solution architecture for our Enterprise Data Platform (EDP) and help evolve it into an AI-enabled data platform.

About the Team

The KBX DataOps team builds and supports enterprise data capabilities housed in AWS that help business teams access trusted data, improve decision-making, and scale analytics. We partner across business, technology, governance, cloud, and security teams to deliver reliable data products and modern platform capabilities.

Responsibilities

• Design and evolve the architecture of the Enterprise Data Platform, including the integration patterns, governance controls, and platform capabilities required to support analytics, automation, AI, and agent-based use cases.
• Lead solution architecture and hands-on delivery of scalable data platform capabilities, including self-service access patterns, APIs, data products, metadata services, and AI-enabled experiences.
• Translate business, data, and AI opportunities into production-ready architecture patterns that balance scalability, security, maintainability, and speed to value.
• Build foundational platform capabilities including metadata management, semantic models, orchestration frameworks, secure access patterns, observability, and governance services that enable analytics, automation, and AI workloads.
• Serve as the hands-on architectural lead for the team's AWS-native platform architecture, owning design decisions and directly contributing to implementation.
• Continuously modernize data pipelines to reduce redundancy, control cost, and improve reliability and observability.
• Codify reusable architecture patterns (Terraform) and mentor data engineers to scale successful patterns across initiatives/projects.
• Serve as the solution architecture contributor in architecture review processes.

Requirements

• Experience evaluating, designing, maintaining, or implementing AI/GenAI capabilities within enterprise data and technology environments.
• Experience designing solutions using AWS technologies such as Glue, S3, Redshift, Lambda, Step Functions, and IAM roles and policies.
• Exposure to applying GenAI/LLM patterns over enterprise data.
• Experience applying the following fundamentals as a solution architect: RBAC, data lineage, DR/HA, modular design, cost optimization.
• Experience influencing architecture and architectural strategy across the organization at various levels.

Qualifications

The following experience will put you ahead:

• Experience implementing Model Context Protocol (MCP) or comparable AI-to-data integration patterns.
• Experience building enterprise AI solutions using LLMs, copilots, agents, or retrieval-based architectures.
• Experience designing AI infrastructure on AWS or other cloud platforms.
• Experience developing AI governance, security, and operating patterns.
• Experience building semantic, metadata, or orchestration layers that enable AI-based data access.
• Experience evaluating emerging AI technologies and translating them into scalable enterprise architecture patterns.
• Experience designing layered data architectures across cloud platforms, including immutable raw-data retention, standardized transformation layers, and curated analytics or semantic-serving layers.
• Experience partnering with IT Security teams on IAM and secure data access pattern initiatives.
• Experience mentoring data engineers and establishing reusable architecture standards/patterns that scale across teams.

Benefits

Our goal is for each employee, and their families, to live fulfilling and healthy lives. We provide essential resources and support to build and maintain physical, financial, and emotional strength - focusing on overall wellbeing so you can focus on what matters most.

• Medical, dental, vision, flexible spending and health savings accounts
• Life insurance, ADD, disability, retirement
• Paid vacation/time off, educational assistance
• May include infertility assistance, paid parental leave, and adoption assistance

Specific eligibility criteria is set by the applicable Summary Plan Description, policy, or guideline and benefits may vary by geographic region.

Pay

Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location.